Payoto
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roberta-base-finetuned-swag

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Payoto commited on Dec 17, 2022

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update model card README.md

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@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the swag dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5093
-- Accuracy: 0.8302
 ## Model description
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.9911        | 1.0   | 2298 | 0.5308          | 0.7929   |
-| 0.3024        | 2.0   | 4596 | 0.4780          | 0.8161   |
-| 0.0785        | 3.0   | 6894 | 0.5093          | 0.8302   |
 ### Framework versions

 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the swag dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.5098
+- Accuracy: 0.8273
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.0432        | 1.0   | 2298 | 0.5479          | 0.7869   |
+| 0.274         | 2.0   | 4596 | 0.4749          | 0.8155   |
+| 0.0939        | 3.0   | 6894 | 0.5098          | 0.8273   |
 ### Framework versions